FAANG interview questions (Facebook/Meta, Amazon, Apple, Netflix, Google) are notoriously challenging. This guide compiles the most common FAANG interview questions and answers from real candidates who received offers in 2024-2025.
Most Common FAANG Interview Questions
Top 10 Coding Questions Asked at FAANG:
- 1. Two Sum (Amazon, Apple, Google)
- 2. Reverse Linked List (Amazon, Facebook, Microsoft)
- 3. Merge K Sorted Lists (Google, Amazon)
- 4. Longest Substring Without Repeating Characters (Facebook, Amazon)
- 5. Binary Tree Level Order Traversal (Facebook, Apple)
- 6. Validate Binary Search Tree (Amazon, Microsoft)
- 7. LRU Cache (Amazon, Google, Apple)
- 8. Word Ladder (Google, Facebook)
- 9. Coin Change (Meta, Amazon)
- 10. Number of Islands (Facebook, Amazon, Google)
Google Interview Questions and Answers
Q: Design a URL Shortener (System Design)
Answer Approach:
- โข Use hash function to generate short URL
- โข Store mappings in NoSQL database (Redis for cache)
- โข Handle collisions with counter or random string
- โข Implement analytics tracking (click counts)
- โข Scale with load balancers and database sharding
Q: Serialize and Deserialize Binary Tree
Key Points: Use pre-order traversal, handle null nodes with marker, reconstruct recursively
Amazon Interview Questions and Answers
Q: Tell me about a time you had to work with ambiguous requirements (Behavioral)
STAR Method Answer:
Situation: Assigned a new feature with vague specifications
Task: Needed to clarify requirements and deliver on time
Action: Scheduled stakeholder meetings, created detailed PRD, built prototype for feedback
Result: Delivered feature 2 weeks early, adopted as company standard
Q: Implement LRU Cache (Coding)
Solution: Use HashMap + Doubly Linked List, O(1) for get/put operations
Meta (Facebook) Interview Questions and Answers
Q: Design Facebook News Feed (System Design)
Answer Approach:
- โข Fan-out on write vs fan-out on read trade-offs
- โข Use graph database for social connections
- โข Implement ranking algorithm (engagement score)
- โข Cache with Redis for hot users
- โข CDN for images/videos
Q: Clone Graph (Coding)
Key Points: Use DFS/BFS with HashMap to track visited nodes
Apple Interview Questions and Answers
Q: Why do you want to work at Apple? (Behavioral)
Strong Answer Elements:
- โข Passion for user experience and design excellence
- โข Admiration for specific Apple products (mention details)
- โข Alignment with privacy and security values
- โข Desire to work on products used by billions
Netflix Interview Questions and Answers
Q: Design a Recommendation System (System Design)
Answer Approach:
- โข Collaborative filtering (user-user, item-item)
- โข Content-based filtering (genre, actors, directors)
- โข Hybrid approach for best results
- โข Real-time personalization pipeline
- โข A/B testing framework for algorithm improvements
Common FAANG Behavioral Questions
โข Tell me about your most challenging project
Focus on technical complexity and your problem-solving approach
โข Describe a time you disagreed with your manager
Show respectful disagreement and data-driven decision making
โข How do you handle tight deadlines?
Emphasize prioritization, communication, and quality maintenance
How to Prepare for FAANG Interviews
- 1. Master DSA Fundamentals: Focus on arrays, trees, graphs, DP
- 2. Practice Company-Specific Questions: Use LeetCode company tags
- 3. Mock Interviews: Do 10+ mocks before your real interview
- 4. Study System Design: Essential for L4+ roles
- 5. Prepare STAR Stories: Have 8-10 behavioral stories ready
- 6. Research Company Culture: Read Glassdoor, Blind, team blogs
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